Working on building out models

a recursive approach? or a dfs approach? not sure yet. still playing with ideas.

utils/model_builder_test.go

@@ -0,0 +1,51 @@
+package utils
+
+import (
+    "github.com/stretchr/testify/assert"
+    "gopkg.in/yaml.v3"
+    "testing"
+)
+
+type spank[t any] struct {
+    life t
+}
+
+type hotdog struct {
+    Name       string
+    Beef       bool
+    Fat        int
+    Ketchup    float32
+    Mustard    float64
+    Grilled    spank[bool]
+    NotGrilled spank[string]
+}
+
+func (h hotdog) Build(node *yaml.Node) {
+
+}
+
+func TestBuildModel(t *testing.T) {
+
+    yml := `name: yummy
+beef: true
+fat: 200
+ketchup: 200.45
+mustard: 324938249028.98234892374892374923874823974
+grilled: false
+notGrilled: false`
+
+    var rootNode yaml.Node
+    mErr := yaml.Unmarshal([]byte(yml), &rootNode)
+    assert.NoError(t, mErr)
+
+    hd := hotdog{}
+    cErr := BuildModel(&rootNode, &hd)
+    assert.Equal(t, 200, hd.Fat)
+    assert.Equal(t, true, hd.Beef)
+    assert.Equal(t, "yummy", hd.Name)
+    assert.Equal(t, float32(200.45), hd.Ketchup)
+    assert.Equal(t, 324938249028.98234892374892374923874823974, hd.Mustard)
+
+    assert.NoError(t, cErr)
+
+}